JOURNAL ARTICLE

Game theoretic frequency reuse approach in OFDMA femtocell networks

Joydev GhoshDushantha Nalin K. Jayakody

Year: 2018 Journal:   Transactions on Emerging Telecommunications Technologies Vol: 29 (10)

Abstract

Abstract In this paper, we initially dealt with the issue of spectrum allocation among macro (or “licensed”) and femto (or “unlicensed”) users in an orthogonal frequency division multiple access femtocell network of noncooperative game theoretic frequency reuse approach. We formulate the difficulty based on spectrum bidding. Here, individual secondary users (SUs) create an auction for the amount of bandwidth and every primary user can share the frequency band among SUs by itself according to the intelligence from SUs without lowering its own performance. Here, we consider that the bidding is a noncooperative game and one of its solutions is a Nash equilibrium. The femto base stations are grouped into different cluster for mitigating the undesired interference among them. The game theoretical method deals with the intercluster frequency clashes. We exemplified a link between utility function and the number of players by noncooperative game theoretic approach to guide the spectrum sharing decision at the cell edges. The convergence of the development mechanism is rigorously scrutinized and extensive numerical outcomes are presented to illustrate their potential merits.

Keywords:
Femtocell Computer science Bidding Orthogonal frequency-division multiple access Nash equilibrium Macrocell Frequency allocation Game theory Non-cooperative game Bandwidth (computing) Potential game Computer network Mathematical optimization Cellular network Base station Orthogonal frequency-division multiplexing Mathematical economics Mathematics Economics

Metrics

14
Cited By
2.76
FWCI (Field Weighted Citation Impact)
32
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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